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Emergent global patterns of ecosystem structure and function from a mechanistic general ecosystem model.
Harfoot, Michael B J; Newbold, Tim; Tittensor, Derek P; Emmott, Stephen; Hutton, Jon; Lyutsarev, Vassily; Smith, Matthew J; Scharlemann, Jörn P W; Purves, Drew W.
Afiliação
  • Harfoot MB; United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, United Kingdom; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom.
  • Newbold T; United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, United Kingdom; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom.
  • Tittensor DP; United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, United Kingdom; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom; Dalhousie University, Halifax, Nova Scotia, Canada.
  • Emmott S; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom.
  • Hutton J; United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, United Kingdom.
  • Lyutsarev V; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom.
  • Smith MJ; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom.
  • Scharlemann JP; United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, United Kingdom; School of Life Sciences, University of Sussex, Falmer, Brighton, United Kingdom.
  • Purves DW; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom.
PLoS Biol ; 12(4): e1001841, 2014 Apr.
Article em En | MEDLINE | ID: mdl-24756001
Anthropogenic activities are causing widespread degradation of ecosystems worldwide, threatening the ecosystem services upon which all human life depends. Improved understanding of this degradation is urgently needed to improve avoidance and mitigation measures. One tool to assist these efforts is predictive models of ecosystem structure and function that are mechanistic: based on fundamental ecological principles. Here we present the first mechanistic General Ecosystem Model (GEM) of ecosystem structure and function that is both global and applies in all terrestrial and marine environments. Functional forms and parameter values were derived from the theoretical and empirical literature where possible. Simulations of the fate of all organisms with body masses between 10 µg and 150,000 kg (a range of 14 orders of magnitude) across the globe led to emergent properties at individual (e.g., growth rate), community (e.g., biomass turnover rates), ecosystem (e.g., trophic pyramids), and macroecological scales (e.g., global patterns of trophic structure) that are in general agreement with current data and theory. These properties emerged from our encoding of the biology of, and interactions among, individual organisms without any direct constraints on the properties themselves. Our results indicate that ecologists have gathered sufficient information to begin to build realistic, global, and mechanistic models of ecosystems, capable of predicting a diverse range of ecosystem properties and their response to human pressures.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_quimicos_contaminacion Assunto principal: Simulação por Computador / Ecossistema / Ecologia / Aquecimento Global / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Biol Assunto da revista: BIOLOGIA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_quimicos_contaminacion Assunto principal: Simulação por Computador / Ecossistema / Ecologia / Aquecimento Global / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Biol Assunto da revista: BIOLOGIA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Reino Unido
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